These are some jupyter notebooks, with example codes to perform specific tasks associated with different libraries. I made these while learning the specific libraries and wrote down, whatever I thought would be useful in future projects. These can be referenced later to save time on projects, by simply copying the code block from these, and modifying according to your requirements.


Code Bank Notebooks


Python 3.8

Topics include Strings, slicing, Lists, Dictionaries, Tuples, Sets, Map, Lambda(), filter().

 

Scikit-Learn

Whatever it is, the way you tell your story online can make all the difference.

NumPy

Topics include Arrays, matrices, slicing, pre built array functions and usage.

 

Preprocessing

Taking care of missing data, encoding categorical data, feature scaling

Pandas

Whatever it is, the way you tell your story online can make all the difference.

Matplotlib

Whatever it is, the way you tell your story online can make all the difference.


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Stock Price Prediction RNN

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Movie Rating Recommendation System Autoencoders